A review on food recognition technology for health applications

Allegra, Dario; Battiato, Sebastiano; Ortis, Alessandro; Urso, S.; Polosa, Riccardo

doi:10.4081/hpr.2020.9297

Cited by 27 publications

(19 citation statements)

References 88 publications

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“…An important place is given to fundamental research on certain aspects of health diagnostics and monitoring: interdisciplinary research of health mechanisms and affecting factors (Kooiker & Christiansen, 1995;van Doorslaer et al, 1997;Kogan, 206); creation of databases of valeological information (Nikiforova, 2011;Tolmacheva, 2015;European Database.., 2018); mathematical models (Kalachikova & Korchagina, 2015;Petrash & Murtazina, 2018;Jenatabadi et al, 2021;Wedlund & Kvedar, 2021); expert systems of evaluating health indicators (Allegra et al, 2020;Jespersen et al, 2021); and intellectual health support (Meyer, 2010;Chestnov et al, 2015;Kakani, 2020;Bent et al, 2021).…”

Section: What Does the Hls Concept Mean?mentioning

confidence: 99%

Promotion of a healthy lifestyle in Russia and China The first results of COVID-19 and trends in the post-COVID economy

Sharko

2021

BJE

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The COVID-19 pandemic has not only become a test for all mankind, but also gave reason to rethink the attitude to their health not only for people from the high-risk category, but also for everyone. Before the pandemic, the concept of a healthy lifestyle was gaining a powerful economic momentum (popularization of communities associated with fitness products, advertising, healthy products, etc.). But has the trend changed after the restrictions were eased? The purpose of this paper is to find out whether the healthy lifestyle concept affected the preservation of the health of the nation during the pandemic (is there a link between the level of national health and the degree of resistance to pandemics?). The study focuses on two countries — Russia and China. The difference in the population’s perception of the healthy lifestyle concept, promotion of a healthy lifestyle at the governmental level, and the assessment of its effectiveness are determined based on the analysis of secondary statistical data, a survey of 1,230 respondents from Russia and China in late 2020 — early 2021, as well as using econometric factor analysis. The results obtained can be scaled to the rest of the BRICS countries in order to adapt existing state programs to preserving the health of nations in the future.

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Section: What Does the Hls Concept Mean?mentioning

confidence: 99%

Promotion of a healthy lifestyle in Russia and China The first results of COVID-19 and trends in the post-COVID economy

Sharko

2021

BJE

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“…To monitor Sensors 2022, 22, 1493 2 of 17 the intake of energy and nutrients accurately, each food in the image must be identified and its volume estimated. Although food recognition has been extensively studied using deep learning techniques [11][12][13][14][15][16][17], estimating food volume from images remains a challenging problem [9][10][11]18]. Several sensor-based approaches have been reported [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation

Jia

Ren

et al. 2022

Sensors

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Knowing the amounts of energy and nutrients in an individual’s diet is important for maintaining health and preventing chronic diseases. As electronic and AI technologies advance rapidly, dietary assessment can now be performed using food images obtained from a smartphone or a wearable device. One of the challenges in this approach is to computationally measure the volume of food in a bowl from an image. This problem has not been studied systematically despite the bowl being the most utilized food container in many parts of the world, especially in Asia and Africa. In this paper, we present a new method to measure the size and shape of a bowl by adhering a paper ruler centrally across the bottom and sides of the bowl and then taking an image. When observed from the image, the distortions in the width of the paper ruler and the spacings between ruler markers completely encode the size and shape of the bowl. A computational algorithm is developed to reconstruct the three-dimensional bowl interior using the observed distortions. Our experiments using nine bowls, colored liquids, and amorphous foods demonstrate high accuracy of our method for food volume estimation involving round bowls as containers. A total of 228 images of amorphous foods were also used in a comparative experiment between our algorithm and an independent human estimator. The results showed that our algorithm overperformed the human estimator who utilized different types of reference information and two estimation methods, including direct volume estimation and indirect estimation through the fullness of the bowl.

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“…In addition to recording the intake of foods, beverages, and dietary supplements with paper-based diaries, research has been ongoing for decades to determine how and to what extent computerized systems can be used to support this process [ 35 , 36 ]. Nutrition calculation programs (e.g., DGExpert [ 5 ]) have become indispensable, especially for nutritionists [ 37 , 38 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Digital Nutrition Diary for Geriatric Patients at High Risk of Frailty Syndrome

et al. 2022

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Due to the physical, psychological, or socioeconomic changes that accompany aging, many people will be affected by geriatric frailty syndrome, which can lead to multimorbidity and premature death. Nutrition counseling is often used to prevent and intervene in frailty syndrome, especially in geriatric rehabilitation. To this end, the consumption behavior of geriatric patients is recorded using paper-based, as well as retrospective memory logs in face-to-face interviews between patients and nutritionists. To simplify this procedure, a digital nutrition diary was developed that is specially adapted to the needs of geriatric patients (>=70 years), enabling them to record their consumption behavior themselves. In an initial study (Study 1), conducted in a geriatric rehabilitation division with twelve subjects (ten male, two female, mean age 79.2 ±5.9 years), feedback about the usability of the digital nutrition diary, and how to improve it, was surveyed. In addition, the usability of an activity tracker and a body composition scale was surveyed to determine whether geriatric patients are generally able to use these devices. In a second study (Study 2), also conducted in the geriatric rehabilitation division, this time with sixteen subjects (ten male, six female, mean age 79.3 ±3.9 years), the usability of the digital nutrition diary was surveyed again to evaluate its modifications based on the feedback from Study 1. In Study 1, the usability rating of the system (0–100) was 82.5 for the activity tracker, 29.71 for the body composition scale, and 51.66 initially for the digital nutrition diary, which increased to 76.41 in Study 2.

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A review on food recognition technology for health applications

Cited by 27 publications

References 88 publications

Promotion of a healthy lifestyle in Russia and China The first results of COVID-19 and trends in the post-COVID economy

Promotion of a healthy lifestyle in Russia and China The first results of COVID-19 and trends in the post-COVID economy

A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation

A Novel Digital Nutrition Diary for Geriatric Patients at High Risk of Frailty Syndrome

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